Anti-eavesdropping and interference-resistant unmanned aerial vehicle - MEC system robustness task offloading mechanism

In recent years, people's sensitivity to information has greatly increased, and they are becoming more and more concerned about their privacy. Therefore, information security during data transmission is becoming increasingly important. In response to the important situation of information security transmission in the current era, considering the mobility of users. Firstly, this article establishes a theoretical model and provides a detailed analysis of the assumed system scenarios; The edge cloud layer is composed of UAVs equipped with mobile edge computing servers. The eavesdropping illegal users are on the ground layer with the legitimate mobile users on the ground. The ground users divide the tasks that need to be unloaded and unload them by partition, so that the unloading task processing can be uninterrupted and will not be subject to eavesdropping attacks by illegal users. Meanwhile, this article proposes a distance perturbation probability function to hide the location information of ground mobile users, avoid information leakage, and further ensure the security of the task unloading process for ground mobile users. Finally, simulation can prove that the proposed scheme can achieve the goal of improving the security of data transmission process.